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LDPRecover: Recovering Frequencies from Poisoning Attacks against Local Differential Privacy
March 15, 2024, 4:10 a.m. | Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Tianyu Wo, Jie Xu, Renyu Yang
cs.CR updates on arXiv.org arxiv.org
Abstract: Local differential privacy (LDP), which enables an untrusted server to collect aggregated statistics from distributed users while protecting the privacy of those users, has been widely deployed in practice. However, LDP protocols for frequency estimation are vulnerable to poisoning attacks, in which an attacker can poison the aggregated frequencies by manipulating the data sent from malicious users. Therefore, it is an open challenge to recover the accurate aggregated frequencies from poisoned ones.
In this work, …
arxiv attacker attacks can collect cs.cr differential privacy distributed local poisoning poisoning attacks practice privacy protecting protocols server statistics untrusted vulnerable
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